This article focuses on developing effective tools for the automated control of technological processes involved in production resource provision. It also addresses the creation of process control triggers within enterprise resource planning (ERP) systems. The goal is to enhance the efficiency of planning, processing, and managing production resources and inventories. To achieve this, we propose a methodology and algorithms for constructing triggers that manage resource provision processes. These triggers serve as critical components in ERP systems, ensuring that production resources are allocated and managed optimally. By implementing the proposed methodology, we have developed algorithms for constructing and updating the control trigger graph. This graph is essential for real-time monitoring and adjustment of resource management processes, enabling enterprises to respond swiftly to changes and maintain efficient operations. Overall, our approach significantly improves the coordination and utilization of production resources, leading to better resource management and increased operational efficiency in manufacturing environments.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Development of a Model and Algorithms for Trigger Control of Technological Processes of Resource Provision

  • Si Thu Thant Sin

摘要

This article focuses on developing effective tools for the automated control of technological processes involved in production resource provision. It also addresses the creation of process control triggers within enterprise resource planning (ERP) systems. The goal is to enhance the efficiency of planning, processing, and managing production resources and inventories. To achieve this, we propose a methodology and algorithms for constructing triggers that manage resource provision processes. These triggers serve as critical components in ERP systems, ensuring that production resources are allocated and managed optimally. By implementing the proposed methodology, we have developed algorithms for constructing and updating the control trigger graph. This graph is essential for real-time monitoring and adjustment of resource management processes, enabling enterprises to respond swiftly to changes and maintain efficient operations. Overall, our approach significantly improves the coordination and utilization of production resources, leading to better resource management and increased operational efficiency in manufacturing environments.